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Artificial Neural Networks (ANN) have proven to be an effective tool for solving complex engineering problems requiring estimation, pattern recognition, and classification of variables.
Wavelet transforms have had tremendous impact on the fields of signal processing, signal coding, estimation, pattern recognition, applied sciences, process systems engineering, econometrics, and medicine.
SeAMotE operations are executed by C programs, whereas significance estimation, pattern filtering and sequence logo design are computed using R scripts and the Biostrings, stringdist and seqLogo packages.
Based on preliminary results, we decided to use a zipcode population-weighting approach for spatial aggregation and this will alleviate some of these impacts, but ultimately a low estimation pattern persists in SR6.
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Applications of the ideas in this research include the theory of probability density estimation [78], pattern classification [3], control theory [33], signal processing [16], numerical simulation of turbulent channel flow [23], and construction of Schauder basis [24, 31, 37].
Although the ST has gained special attention due to its Fourier kernel and absolute phase reference, its reference to Fourier basis in ST enables direct interpretation of spectral component variation standards, and this property is the prime advantage of ST from the perspective of measurement of parameters and estimation, and pattern recognition.
These properties allow computationally efficient dynamic programming algorithms to carry out important tasks such as parameter estimation and pattern recognition.
Let L be the proposed estimation of pattern size for the latent profile periodicity of analysed textual string str of length n in alphabet A of K characters.
Estimation of patterns of expression with the modification of the community phylogenetics approach revealed contrasting results for the four Conus species examined.
Even though the quantities of transcripts detected could not be compared because of the different methods of estimation, the patterns of expression obtained via qPCR closely paralleled the microarray data.
Since the category of the to-be-filled pixels is determined by the estimated texture pattern, accurate pattern direction estimation plays an important role in the fusion process.
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